Chief Technology Officer

Join Omnia as a Co-Founder & CTO to build the AI platform that will redefine enterprise human capital. We are an early‑stage startup seeking a visionary leader (ETH/EPFL preferred) to architect our system and culture from scratch in return for significant founding equity.

1. Strategic & Technical Leadership

Define and own the end‑to‑end AI strategic vision and technical roadmap, ensuring tight alignment with Omnia’s mission, business goals, and user needs.

• Drive Innovation: Translate business objectives into concrete, scalable, AI‑powered platform capabilities. Drive our competitive edge through continuous R&D into emerging technologies, tools, and methodologies.
• Build a World‑Class Culture: Lead and mentor the engineering and AI/ML organisation, fostering a culture of excellence, innovation, continuous improvement, and knowledge sharing.
• Align Stakeholders: Serve as the key technical voice, translating complex concepts and roadmaps for executives, product managers, and external partners (research institutions, thought leaders).

2. Platform Architecture & Cloud Engineering

Design, build, and continuously refine Omnia’s cloud‑native technical architecture (AWS/GCP/Azure), ensuring it is modular, secure, and highly scalable.

• Drive Technology Selection: Lead the selection and oversight of the entire technology stack, choosing optimal frameworks, tools, and infrastructure for rapid development and robust deployment.
• Implement Dev Ops Excellence: Architect and oversee a modern Dev Ops strategy, including automated CI/CD pipelines, real‑time monitoring, and cost‑optimised infrastructure management to guarantee reliability, performance, and availability.
• Unify the System: Lead the seamless integration of AI models, data pipelines, and APIs into a single, cohesive, and high‑performance product.

3. AI/ML Engineering & MLOps

Guide the entire lifecycle of model development, from defining data strategies (sourcing, preprocessing, labelling) to building, testing, and deploying production‑ready models.

• Champion MLOps Best Practices: Implement and enforce state‑of‑the‑art MLOps practices, including CI/CD for machine learning, automated monitoring, model versioning, and retraining pipelines.
• Ensure Model Performance: Establish and own the frameworks for rigorous benchmarking, evaluation, and continuous monitoring of AI model performance, accuracy, and real‑world business impact.

4. Security, Governance & Risk Management

Define and own the data compliance and governance framework, ensuring the platform adheres strictly to GDPR, HIPAA, applicable data regulations, and data ethics principles.

• Embed Security by Design: Embed robust security principles across the platform, including end‑to‑end encryption, identity and access management (IAM), and secure API development.
• Mitigate Risks Proactively: Identify and mitigate risks related to both AI usage (e.g., bias, fairness, explainability) and system performance (e.g., cybersecurity resilience, stability, downtime).

• Demonstrated success defining AI/ML strategy and architecting complex,
  cloud‑native systems from the ground up.
• A proven track record of translating high‑level business goals into robust software architecture and scalable technical roadmaps.
• Experience designing and implementing bespoke machine learning frameworks that serve as the foundation for an intelligent, data‑driven product.
• Expert‑level command of a relevant tech stack for AI‑driven applications (e.g.,
  Python
  , Java, C++) and deep familiarity with major cloud platforms (AWS, GCP, Azure).
• Hands‑on expertise in implementing modern MLOps pipelines for the continuous integration, delivery, monitoring, and retraining of machine learning models.
• Deep, practical knowledge of AI governance
  , performance evaluation frameworks, and risk mitigation strategies for production AI systems.
• Exceptional leadership and communication skills
  , with the ability to mentor a high‑performing, cross‑functional team and articulate a clear technical vision to all stakeholders.
• Proven experience leading technical teams in a fast‑paced, agile startup or innovation‑driven environment, with a relentless focus on execution and…